Electrical and Electronic Engineering Department, Universidad Pública de Navarra, 31006 Pamplona, Spain.
Sensors (Basel). 2012 Nov 12;12(11):15689-708. doi: 10.3390/s121115689.
In this work, the impact of radiofrequency radiation leakage from microwave ovens and its effect on 802.15.4 ZigBee-compliant wireless sensor networks operating in the 2.4 GHz Industrial Scientific Medical (ISM) band is analyzed. By means of a novel radioplanning approach, based on electromagnetic field simulation of a microwave oven and determination of equivalent radiation sources applied to an in-house developed 3D ray launching algorithm, estimation of the microwave oven’s power leakage is obtained for the complete volume of an indoor scenario. The magnitude and the variable nature of the interference is analyzed and the impact in the radio link quality in operating wireless sensors is estimated and compared with radio channel measurements as well as packet measurements. The measurement results reveal the importance of selecting an adequate 802.15.4 channel, as well as the Wireless Sensor Network deployment strategy within this type of environment, in order to optimize energy consumption and increase the overall network performance. The proposed method enables one to estimate potential interference effects in devices operating within the 2.4 GHz band in the complete scenario, prior to wireless sensor network deployment, which can aid in achieving the most optimal network topology.
本工作分析了微波炉射频辐射泄漏及其对工作在 2.4GHz 工业、科学和医疗(ISM)频段的符合 802.15.4 ZigBee 标准的无线传感器网络的影响。通过一种新颖的辐射规划方法,该方法基于微波炉的电磁场模拟以及应用于内部开发的 3D 射线发射算法的等效辐射源的确定,获得了微波炉在室内场景整个体积内的功率泄漏估计。分析了干扰的幅度和可变性,并估计了在运行无线传感器时对无线电链路质量的影响,并与无线电通道测量和数据包测量进行了比较。测量结果揭示了在这种环境中选择合适的 802.15.4 信道以及无线传感器网络部署策略的重要性,以便优化能量消耗并提高整体网络性能。所提出的方法能够在无线传感器网络部署之前,估计在 2.4GHz 频段内工作的设备在完整场景中的潜在干扰影响,从而有助于实现最佳的网络拓扑。